Aerospace Data Analyst: ML & Manufacturing Insights

MTU Aero Engines AG; Tajęcina; On-site; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Medical care

Training & development

Bonuses

Sport card

Company events

Cafeteria meals

Job summary

MTU Aero Engines Polska, part of MTU Aero Engines AG, is seeking a Data Science/ML Specialist in Tajęcina near Rzeszów. You will develop machine learning models for parts deviation prediction and anomaly detection, independently drive projects, and collaborate with interdisciplinary teams across international sites.

The role emphasizes strong Python development, ML proficiency, and the ability to communicate effectively in English.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Mechanical Engineering or equivalent qualification.
• Strong knowledge of Python, including NumPy, pandas and scikit-learn.
• Familiarity with PyCharm, Tableau, Git and Linux.
• Experience in statistics and machine learning, data collection (ETL) and database management (SQL).
• Basic understanding of manufacturing processes will be an advantage.
• Ability to read and interpret technical documentation.
• Openness to qualification training in Munich.
• Strong communication skills in an international, diverse team.
• Very good written and spoken English; German is a plus.

Responsibilities

• Development of machine learning algorithms for parts deviation prediction and anomaly detection
• Independent execution of projects with regular reporting
• Participation in management of interdisciplinary teams and project tasks
• Cooperation and regular technical reporting to MTU Munich, Germany.

Skills

Python

ML & statistics

ETL/SQL

Tableau

Git

Linux

English proficiency

Reading technical docs

Education

Bachelor's or Master's in Data Science or Mechanical Engineering

Tools

PyCharm

Tableau

Git

Linux

Job description

MTU Aero Engines Polska, part of MTU Aero Engines AG, is seeking a Data Science/ML Specialist in Tajęcina near Rzeszów. You will develop machine learning models for parts deviation prediction and anomaly detection, independently drive projects, and collaborate with interdisciplinary teams across international sites.

The role emphasizes strong Python development, ML proficiency, and the ability to communicate effectively in English.